Geodesy

Satellite

Engineering

Aerospace engineering

Extended Kalman filter

Telecommunications

Economics

Computer science

Doppler frequency

Geology

Orbit determination

Physics

Astronomy

Position (finance)

Global Positioning System

Low earth orbit

Artificial intelligence

Kalman filter

Remote sensing

Finance

Doppler effect

A framework for positioning with low Earth orbit (LEO) satellite signals is proposed. The framework employs an extend Kalman filter (EKF) to estimate a receiver's position using Doppler frequency measurements from LEO satellites. The satellites' positions and velocities are known through two-line element (TLE) files. A receiver architecture to acquire and track LEO satellite signals and extract Doppler measurements to LEO satellites is discussed. Simulation results show that 11 m positioning accuracy can be achieved with 25 LEO satellites. Experimental results are presented demonstrating the proposed stationary receiver estimating its position using Doppler measurements from 2 Orbcomm LEO satellites with an accuracy of 360 m over a 1 minute period.

Receiver Design for Doppler Positioning with Leo Satellites